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Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process
In recent years, deep neural networks have shown significant progress in computer vision due to their large generalization capacity; however, the overfitting problem ubiquitously threatens the learning process of these highly nonlinear architectures. Dropout is a recent solution to mitigate overfitt...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961777/ https://www.ncbi.nlm.nih.gov/pubmed/33800810 http://dx.doi.org/10.3390/s21051846 |